Lead and manage Honeywell's Field Service team to enhance service delivery and customer satisfaction. Collaborate cross - functionally to implement effective field service operations.
About the role
- Data Analysis Manager at Wealth Enhancement leading data-driven decision-making and managing analytics projects while supporting financial planning initiatives.
Responsibilities
- Lead an analyst and collaborate closely with cross-functional leaders to ensure data accuracy, consistency, and relevance across the organization
- Define analytics strategy aligned with business objectives
- Manage analytics projects, timelines, and priorities
- Partner across the organization to develop data integrity and design standards
- Help spearhead data integrity and validation efforts across the organization
- Build analytical datasets from raw datasets
- Partner with stakeholders across departments to support data-driven decisions
- Translate business questions into analytical frameworks and data requirements
- Communicate findings clearly to technical and non-technical audiences
- Design and deliver KPIs, dashboards, reports, and executive-level insights
- Provide clear, actionable insights to support leadership decision-making
- Conduct custom analysis using financial and statistical techniques
- Apply analytical rigor to solve complex business problems
Requirements
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or related field
- 5+ years of experience in data analysis or business intelligence
- 2+ years of experience leading or managing analysts
- Strong proficiency in SQL and data visualization tools (e.g., Power BI)
- Experience with statistical analysis and data modeling
- Ability to translate data into business insights
- Comfortable in entrepreneurial, fast paced environments building analytics and data from scratch
- Master’s degree in a quantitative or business discipline preferred but not required
- Expert with SQL, Python or R
- Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift)
- Background in financial services, or regulated industries
- Strong project management and stakeholder engagement skills
- Experienced with Salesforce and Power BI platforms
Benefits
- Training and professional development
- Medical, dental and vision coverage (Available to full-time employees and their families)
- Health Savings Account (HSA) with employer contribution and Flexible Spending Accounts (FSA) for medical, dependent, and transit expenses
- Life and AD&D insurance – employer paid and voluntary options
- Short-term and long-term disability, workers compensation – employer paid
- 401k with match and profit sharing
- Wellness programs and resources
- Voluntary benefits, including pet insurance
- 18 days of paid time off (PTO), accrued annually (25 PTO days after 4 years of service)
- 12 paid holidays each year (10 pre-determined and 2 floating days)
- Paid parental leave and paid caregiver leave (Caregiver leave available after 6 months of tenure)
- Reimbursement for tuition, licensing, and other credentials (Available after meeting service requirements)
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